As we see the proposed technique can distinguish different processes that exist in the initial OCEL. To sum up, we have applied the proposed clustering technique on a B2B process where multiple object types are involved. The initial process model is complex to interpret, however, to derive simpler models, we divided the OCEL into several sub-logs using the proposed clustering techniques. The obtained process models are simplified and meaningful process models that can separate different processes and help the user gain insights into the processAll the experiments are implemented in PM4PY [1]}..
<FIGURE><FIGURE>